title: Omics-based molecular target and biomarker identification.
abstract: Genomic, proteomic, and other omic-based approaches are now broadly used in biomedical research to facilitate the understanding of disease mechanisms and identification of molecular targets and biomarkers for therapeutic and diagnostic development. While the Omics technologies and bioinformatics tools for analyzing Omics data are rapidly advancing, the functional analysis and interpretation of the data remain challenging due to the inherent nature of the generally long workflows of Omics experiments. We adopt a strategy that emphasizes the use of curated knowledge resources coupled with expert-guided examination and interpretation of Omics data for the selection of potential molecular targets. We describe a downstream workflow and procedures for functional analysis that focus on biological pathways, from which molecular targets can be derived and proposed for experimental validation.
authors.affiliation: Lombardi Cancer Center, Georgetown University, Washington, DC, USA. zh9@georgetown.edu
authors.forename: Zhang-Zhi
authors.initials: ZZ
authors.lastname: Hu
authors.forename: Hongzhan
authors.initials: H
authors.lastname: Huang
authors.forename: Cathy H
authors.initials: CH
authors.lastname: Wu
authors.forename: Mira
authors.initials: M
authors.lastname: Jung
authors.forename: Anatoly
authors.initials: A
authors.lastname: Dritschilo
authors.forename: Anna T
authors.initials: AT
authors.lastname: Riegel
authors.forename: Anton
authors.initials: A
authors.lastname: Wellstein
mesh_terms: D000818:Animals; D015415:Biomarkers / Q000378:metabolism; D019295:Computational Biology / Q000379:methods*; D003627:Data Interpretation, Statistical; D057225:Data Mining; D006801:Humans; D019451:Information Management; D008093:Literature, Modern; D051379:Mice; D058977:Molecular Sequence Annotation; D010641:Phenotype; D025941:Protein Interaction Mapping; D051381:Rats; D012984:Software
chemical_list: D015415:Biomarkers